Triple
T23185871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 61 Cygni |
E579591
|
entity |
| Predicate | parallaxMeasurementYear |
P151272
|
FINISHED |
| Object | 1838 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1838 | Statement: [61 Cygni, parallaxMeasurementYear, 1838]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallaxMeasurementYear Context triple: [61 Cygni, parallaxMeasurementYear, 1838]
-
A.
properMotionDiscoveryYear
Indicates the year in which an object's proper motion was first discovered or formally reported.
-
B.
parallax_mas
Indicates the apparent shift in an object's position on the sky, measured in milliarcseconds, due to the observer’s change in viewpoint (typically Earth’s orbit around the Sun).
-
C.
parallaxAccuracy
Indicates the degree of precision or reliability associated with a measured parallax value.
-
D.
parallaxError
Indicates an apparent shift in an object's observed position caused by a change in the observer's viewpoint, leading to measurement inaccuracy.
-
E.
meanParallaxUncertainty
Indicates the average level of uncertainty or error associated with measured parallax values in a dataset or observation set.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f7230208190820acf52f537b3ff |
completed | April 29, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b75e2708190ba48875e36f983bc |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:05 p.m.